Question: How long do people keep bikes with NiceRide in terms of duration(time) and date-time??
## # A tibble: 4 x 4
## SameDayReturn SameHourReturn n percent
## <lgl> <lgl> <int> <dbl>
## 1 TRUE TRUE 322028 0.699
## 2 TRUE FALSE 134857 0.293
## 3 FALSE FALSE 3746 0.00813
## 4 FALSE TRUE 87 0.000189
## Warning: `as.tibble()` is deprecated, use `as_tibble()` (but mind the new semantics).
## This warning is displayed once per session.
Note : samedayreturn = false includes those who rented before midnight and returns after midnight. This is not based on time (24hr) but on date.
The graphs below are based on time.
## # A tibble: 1 x 1
## n
## <int>
## 1 434696
Methods: I first used left_join to combine the locations dataset with the overall rides dataset, and then changed some variable names and sorted based on if the variables described starting location or ending location. I then parsed by times into mdy_hm and used w_day to make a variable describing the day of week. For the graph, used geom_bar to plot day of week against count of rides for that day of week, filling with Account Type and using dodge to compare the different memberships side-by-side for each day. To get stats from this graph, I grouped by the week day and account type and counted occurances of each combination.
Findings: Most people tend to utilize the Nice Rides on the weekends, and this makes sense because people tend to have more free time on these days. Interestingly, member account types far outnumber casual account types on the weekdays, but casual account types outweigh member account types on the weekends. This is likely due to the fact that people who pay for the membership are likely doing so because they also need it on the weekdays, perhaps to regularly commute to work, whereas casual riders who may be using the service for more leisurely reasons on the weekends don’t as strongly require a regular membership.